Triple

T4685503
Position Surface form Disambiguated ID Type / Status
Subject Dhanushkodi Beach E103910 entity
Predicate associatedWith P37 FINISHED
Object Lord Rama E103308 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lord Rama | Statement: [Dhanushkodi Beach, associatedWith, Lord Rama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lord Rama
Context triple: [Dhanushkodi Beach, associatedWith, Lord Rama]
  • A. Rama
    Rama is a small scenic village in Pakistan’s Gilgit-Baltistan region, known as a gateway to the lush Rama Meadows and views of Nanga Parbat.
  • B. Rama chosen
    Rama is a major Hindu deity and the virtuous prince-king of Ayodhya, revered as the seventh avatar of Vishnu and hero of the epic Ramayana.
  • C. Ramachandra
    Ramachandra, better known as Tatya Tope, was a prominent Indian general and key leader of the 1857 Indian Rebellion against British rule.
  • D. Krishna
    Krishna is a major river in southern India that flows through the states of Maharashtra, Karnataka, Telangana, and Andhra Pradesh before emptying into the Bay of Bengal.
  • E. Krishna
    Krishna is a major Hindu deity revered as the eighth avatar of Vishnu and celebrated for his roles as a divine lover, charioteer, and teacher in texts like the Bhagavad Gita and the Mahabharata.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6383c83881908a978e471fe422a2 completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1056abf081908aadaea8d9f22860 completed March 21, 2026, 3:28 a.m.
Created at: March 20, 2026, 1:16 p.m.